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Green, Pervasive, and Cloud Computing

Overview of attention for book
Cover of 'Green, Pervasive, and Cloud Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Evaluating the Four-Way Performance Trade-Off for Stream Classification
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    Chapter 2 Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence
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    Chapter 3 U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means
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    Chapter 4 A Distributed Algorithm for Scalable Fuzzy Time Series
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    Chapter 5 Mobility Aware RPL (MARPL): Mobility to RPL on Neighbor Variability
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    Chapter 6 A Method Based on Dispersion Analysis for Data Reduction in WSN
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    Chapter 7 Autonomic IoT Battery Management with Fog Computing
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    Chapter 8 Evaluating Post-quantum Signatures for IoT Devices
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    Chapter 9 Performance Analysis of a System for Vehicle Identification Using LoRa and RFID
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    Chapter 10 Automating Mockup-Based Usability Testing on the Mobile Device
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    Chapter 11 Network and Cloudlet Selection for Computation Offloading on a Software-Defined Edge Architecture
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    Chapter 12 Cloud Computing Adoption in the Government Sector in Brazil: An Exploratory Study with Recommendations from IT Managers
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    Chapter 13 Dynamic Resource Allocation in Hybrid Mobile Cloud Computing for Data-Intensive Applications
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    Chapter 14 A Multi-device Cloud-Based Personal Event Management System
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    Chapter 15 CNTC: A Container Aware Network Traffic Control Framework
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    Chapter 16 BlockP2P: Enabling Fast Blockchain Broadcast with Scalable Peer-to-Peer Network Topology
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    Chapter 17 AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process
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2 X users

Citations

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Title
Green, Pervasive, and Cloud Computing
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-19223-5
ISBNs
978-3-03-019222-8, 978-3-03-019223-5
Editors

Rodrigo Miani, Lasaro Camargos, Bruno Zarpelão, Erika Rosas, Rafael Pasquini

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Student > Ph. D. Student 2 17%
Unspecified 1 8%
Other 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 4 33%
Unspecified 1 8%
Engineering 1 8%
Unknown 6 50%